Home

About

Advanced Search

Browse by Discipline

Scientific Societies

E-print Alerts

Add E-prints

E-print Network
FAQHELPSITE MAPCONTACT US


  Advanced Search  

 
A Modified Ant Colony Algorithm for Evolutionary Design of Digital Circuits Mostafa Abd-El-Barr, Sadiq M. Sait, Bambang A. B. Sarif, Uthman Al-Saiari
 

Summary: A Modified Ant Colony Algorithm for Evolutionary Design of Digital Circuits
Mostafa Abd-El-Barr, Sadiq M. Sait, Bambang A. B. Sarif, Uthman Al-Saiari
Computer Engineering Department
KFUPM Box 673, Dhahran-31261 mostafa, sadiq, sarif, saiarios¡ @ccse.kfupm.edu.sa
Abstract- Evolutionary computation presents a new
paradigm shift in hardware design and synthesis. Ac-
cording to this paradigm, hardware design is pursued by
deriving inspiration from biological organisms. The new
paradigm is expected to radically change the synthesis
procedures in a way that can help discovering novel de-
signs and/or more efficient circuits. In this paper, a mul-
tiobjective optimization of logic circuits based on a mod-
ified Ant Colony (ACO) algorithm is presented. The per-
formance of the proposed algorithm is evaluated using a
set of randomly generated circuits. The results obtained
using the proposed algorithm are compared to those ob-
tained using existing ACO-based techniques. It is shown
that the designed circuits using the proposed algorithm
outperform those of the existing techniques.
1 Introduction

  

Source: Al-Saiari, Uthman - Computer Engineering Department, King Fahd University of Petroleum and Minerals

 

Collections: Computer Technologies and Information Sciences